A diet and activity-monitoring device (84) includes a timer (86), which outputs a time-indicative signal. A body activity monitor (32, 80) monitors the body activity of a subject and outputs a signal indicative of the body activity. A consumption notation control (94) is provided which the subject may operate to indicate when they consume food. An activity calculator (90) receives the body activity signal and determines a body activity level for the subject. A consumption calculator (96) communicates with the consumption notation (94) control and receives the time-indicative signal. The consumption calculator (96) determines and stores the times when the consumption location control is operated.

Diet and activity monitoring device

The invention provides a method and system by which research data can be collected and analyzed during the course of the research testing, and the research testing itself possibly modified to account for conclusions drawn from the research data In a first aspect of the invention, a research subject can respond to a protocol stored on a server by manipulating input keys on a remotely located client device onto which a research protocol has been installed The protocol can include questions concerning the subject's physical or mental well being such as whether their symptoms are relieved or not, or even exacerbated The protocol can also include calling for data obtained by coupling the client device with another medical device such as a glucose monitor In a preferred embodiment, the subject is presented with narrowly structured questions and suggested answers provided by the protocol The set of possible answers is restricted In the event that a suggested answer is ambiguous, inapplicable or raises new questions, a protocol can present a new question to the subject This elimination of fuzzy answers imposes a logical structure upon the subjects' assessments In a second aspect of the invention, data entered by the subject is relayed using a communication link to a server device This incoming data can be aggregated with other incoming data from subjects and their associated client devices

Research data collection and analysis

A system for personalized meal planning is provided which includes a client device and a meal planning center configured to communicate with the client device and to receive a customer's information, including a weight designator, a gender designator, a goal designator, and an activity level designator. The meal planning center includes a storage device and a processing unit. The storage device is configured to store recipe template files having an ingredient designator and a plurality of recipe rule factors, which include a nutrient contribution value, a minimum ingredient value, and a maximum ingredient value. A plurality of recipe rule factors are each assigned to each ingredient designator. The processing unit is configured to determine a nutritional allowance based upon the customer information and to create a recipe that satisfies the nutritional allowance by using the recipe rule factors assigned to the ingredient. The meal planning center is further configured to transmit the recipe to the client device.

System and method for generating personalized meal plans

The invention provides for modeling and scoring risk-assessment and a set of insurance products derived therefrom. Risk indicators are determined at a selected time. A population is assessed at that time and afterward for those risk indicators and for consequences associated therewith. Population members are coupled to client devices for determining risk indicators and consequences. A server receives data from each client, and in response thereto and in conjunction with an expert operator, (1) reassesses weights assigned to the risk indicators, (2) determines new risk indicators, (3) determines new measures for determining risk indicators and consequences, and (4) presents treatment options to each population member. The server determines, in response to the data from each client, and possibly other data, a measure of risk for each indicated consequence or for a set of such consequences. The server provides this measure with regard to each population member, or with regard to population subsets. The expert operator uses this measure to determine either (1) an individual course of treatment, (2) a resource utilization review model, (3) a risk-assessment model, or (4) an insurance pricing model, for each individual population member or for selected population subsets. Information requested by the client, information determined and presented by the server, and responsive measurements, are adapted dynamically to changing population aspects or changing population membership, or of an external environment having relevance to the population.

Dynamic modeling and scoring risk assessment

This invention pertains to therapeutic antibacterial/antifungal-wound healing compositions comprise a therapeutically effective amount of antibacterial agents and/or antifungal agents and/or wound healing composition alone In one embodiment, the wound healing composition comprises (a) zinc oxide and (b) fat-soluble vitamins The therapeutic antibacterial/antifungal-wound healing compositions may be utilized in a wide variety of pharmaceutical products This invention also relates to methods for preparing and using the antibacterial/antifungal-wound healing compositions and the pharmaceutical products in which the therapeutic compositions may be used

Wound healing compound

The invention is a method for determining the effectiveness of a diet program for administration to a patient having at least one diet-responsive condition. The method includes the steps of selecting a plurality of patients, each having at least one diet-responsive condition; identifiying at least one quantifiable indicator of each of the diet-responsive conditions and measuring the at least one indicator for each of the patients during a four week baseline period; and monitoring each of the patients during the baseline period to determine a baseline quality of life. The plurality of patients is divided randomly between a first group and a second group. The diet program is administered to each of the patients in the first group during a ten week intervention period and each of the patients in the second group is maintained on a control diet with known beneficial effects on the at least one diet-responsive condition during the intervention period. The at least one indicator of each of the conditions is monitored for each of the patients after the intervention period.

Method for determining diet program effectiveness

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Method for determining diet program effectiveness